reflect-tree-update

To update a hierarchical knowledge tree with new agent reflections, identify affected nodes, modify their content and metadata, and propagate changes upward. The process logs significant capability shifts and manages node splitting based on content volume.

Node propagation in a knowledge graph memory management system pushes new insights and recalculated confidence scores upward through a hierarchical tree, ensuring parent nodes reflect updated findings from child nodes.

Split nodes in a knowledge tree during memory management when content volume and article counts exceed defined thresholds. This dynamic node management prevents individual nodes from becoming unmanageable and maintains structural coherence.

Capability evolution tracking for agent memory monitors and logs significant capability shifts whenever new insights are integrated into the knowledge base, facilitating self-evolution by recording changes in capability levels.

Yes, you can use shell scripts to manage hierarchical knowledge tree updates. This capability relies on shell scripts like tree-update.sh, tree-read.sh, and evolution-log-append.sh to execute node updates, read structures, and log capability shifts.

The best way to maintain a coherent knowledge base during capability evolution is to systematically integrate new discoveries by updating affected nodes, recalculating confidence scores, and propagating changes upward through the memory tree.